Masaryk Park
Urban Plaza, one of the city's strongest overall (score 55, rank ~97th percentile). Strongest: enclosure; weakest: natural comfort.
Photo by Gord Graham via Google Places · cached 5/9/2026
Masaryk Park scores 54.8 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: edge activation (29.8). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.
Area · 0.42 ha
What's here
Weighted across six dimensions · confidence 68%
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
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Boundary: OpenStreetMap contributors (ODbL).
Explain this score
Where did the 55 come from? Each weighted contribution against a neutral 50 baseline. Green = pushed up; red = pulled down.
Sum of contributions = the headline score. A negative bar means that dimension dragged the park below the city-wide neutral baseline.
Why this park works
Masaryk Park works because its enclosure score (94) is one of the city's strongest and its amenity diversity (39) is also top decile (23 mid-rise buildings frame the edge with passive surveillance).
What limits this park
Masaryk Park doesn't have a clear weakness. Every measured dimension is at or above the middle of the pack.
Most distinctive characteristic
Most distinctive feature: exceptionally high enclosure (94, top decile).
Jacobs reading
Masaryk Park sits between an urban social park and an ecological retreat: moderately useful for both, exceptionally suited to neither.
Performance in context
- This park is a strong overperformer for its cohort: raw 55 versus an expected 42 for similar parks (small Urban Plaza) (gap +13).
Typology classification
Classified as Urban Plaza: 4206 m², paved (0% canopy), 21.9 buildings/100 m
Edge Activation
Within 100 m of the park edge: 7 active uses (community, restaurant, retail, transit_stop) and 3 dead/hostile uses (parking_lot). Active edges keep "eyes on the park" through the day; parking lots, blank institutional walls, rail and highway frontages drain street life.
Source: OSM POIs (amenity/shop) + Toronto Building Footprints + land use
Connectivity
Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 2 mapped paths/walkways and 10 sidewalk segments within 50 m; 7 street intersections within 100 m; 24 transit stops within a 400 m walk; 4 estimated access points across ~265 m of perimeter. edge density is healthy, no superblock penalty. Source coverage: centreline, pedestrian_network, transit_osm.
Source: Toronto Centreline V2 + Pedestrian Network + OSM transit stops
Amenity Diversity
5 distinct amenity types in the park (community_centre, playground, tennis, drinking_water, garden). Diversity, not raw count, drives the score so a park with many distinct activity types can outrank a larger park that repeats the same use.
Source: Toronto Parks & Recreation Facilities + OSM amenity tags
Natural Comfort
Natural-comfort components for this park: ~17.5% effective canopy (0.0% from contiguous tree polygons + scattered tree density); nearest waterbody ~855 m; 25 city-mapped trees inside the polygon (25.0/ha). Reading: exposed. Source coverage: waterbodies, street_trees. Impervious surface is approximated (Toronto's authoritative layer ships only as a raster GeoTIFF).
Source: Toronto Treed Area + Ravine + Waterbodies + Street Tree Inventory
Enclosure / Eyes on Park
58 buildings within 25 m of the park edge (23 mid-rise, 34 low-rise, 1 tower); avg edge height 10.1 m (~3 floors); 21.9 buildings per 100 m of 265 m perimeter (strong frontage density); edges are at a Jacobs-scale walkable mid-rise (3 to 7 floors); 1 tower ≥ 40 m within 25 m of the edge. "Eyes on the park" come strongest from the 23 mid-rise edge buildings.
Source: Toronto 3D Massing (building footprints + heights)
Border Vacuum Risk
Park edges face the city. No significant border vacuum detected.
Source: Toronto Street Centreline (highways) + rail layer + OSM landuse + building footprints
Equity Context
Equity Context requires inputs not yet loaded for this park (Toronto Neighbourhood Profiles). Score is held at a neutral 50 with low confidence. Read with caution.
Source: Toronto Neighbourhood Profiles
Amenities (5 types · 7 records)
- community centre
- playground
- tennis
- drinking water
- garden
Nearby active-edge features (80)
- community: Masaryk-Cowan Community Centre30 m
- retail: The Workroom43 m
- parking lot56 m
- retail: Yioi Beauty Spa57 m
- parking lot64 m
- restaurant: Simpl Things76 m
- restaurant: Daol Korean Restaurant88 m
- parking lot89 m
- transit stop: O'Hara Avenue92 m
- retail: Klute Hair94 m
- restaurant: Daymi102 m
- retail: JR's Natural Health & Bulk102 m
- retail: Queen Fresh Market102 m
- restaurant: T.O. Lounge102 m
- retail102 m
- retail: Loohoo102 m
- cafe: Boba Tea102 m
- cafe: Larry's Place102 m
- retail: Sunny Day Atelier103 m
- retail: Queen Nails & Spa103 m
- retail: Annam Studio103 m
- retail: Home Hardware103 m
- cafe: Capital Espresso103 m
- retail: My Legacy Cannabis Dispensary104 m
- retail: Expedia Cruises104 m
- retail: Super Land Market106 m
- transit stop: Brock Avenue106 m
- retail109 m
- retail112 m
- transit stop: Dunn Avenue113 m
- retail: Mississaugas of the Credit Medicine Wheel115 m
- restaurant: Shambhala Kitchen115 m
- restaurant: Popeyes115 m
- transit stop: Dunn Avenue117 m
- retail: Tara Thrift118 m
- restaurant: Hanoi Restaurant121 m
- parking lot121 m
- retail: Best Convenience121 m
- retail: Metro Cycle125 m
- retail: Budget One Stop126 m
- parking lot128 m
- parking lot128 m
- retail: Common Sort129 m
- transit stop: Brock Avenue131 m
- restaurant: The Momo House132 m
- retail: Park Agency Print Shop136 m
- retail: Fire & Flower138 m
- retail138 m
- restaurant: Mother India143 m
- retail: Matchbox Tattoo144 m
- cafe: Sam James Coffee Bar144 m
- retail: Robinson Bread146 m
- retail: TO Beauty Bar147 m
- community: Creating Together EarlyON Child and Family Centre148 m
- parking lot150 m
- restaurant: Skyline Restaurant150 m
- retail: Wavy152 m
- retail: Paper Plus Cloth153 m
- restaurant: Al Jood156 m
- restaurant: Pizza Pizza159 m
- retail: Made You Look Jewellery159 m
- parking lot159 m
- parking lot162 m
- retail: Lola162 m
- parking lot164 m
- restaurant: The Silver Dollar Room165 m
- retail: Gas City166 m
- parking lot168 m
- restaurant: BB's169 m
- retail: Lumicrest Professional LED Lighting170 m
- restaurant: Craig's Cookies170 m
- restaurant: Kaminari174 m
- cafe: Chloe Cafe175 m
- retail: Dang Jewellery & Watches178 m
- parking lot178 m
- retail: Lynn's Convenience180 m
- restaurant: Nuna181 m
- retail: The Local Market181 m
- restaurant: Molkagtez Mexican Cuisine186 m
- retail: Lucky Vapes192 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality97th
- Edge activation87th
- Connectivity82th
- Amenity diversity91th
- Natural comfort56th
- Enclosure98th
Most similar parks
Closest in metric space across the five structural dimensions.
- Barbara Hall ParkParkette50
- Fairmount ParkAthletic / Recreation Park52
- PARKDALE COMMUNITY RECREATION CENTRE - Building GroundsNeighbourhood Park51
- Snider ParketteUrban Plaza46
- St. Clements - Yonge ParketteUrban Plaza47
Most opposite parks
Furthest in metric space. Useful for recognising what kind of park this isn’t.
- Toronto Islands - Muggs Island ParkRavine / Naturalized Park25
- Trca Lands ( 26)Ravine / Naturalized Park27
- Rouge ParkWaterfront Park25
- Rouge ParkRavine / Naturalized Park21
- Rouge ParkRavine / Naturalized Park28
Visitor signals
Public attention measured by Google Places aggregates. This proxies attention, not occupancy. Aggregate-only: no usernames, no review text, no extra photos beyond the cached hero.
p43 citywide · p29 within Urban Plaza
Source: Google Places API · match unverified (0.00 composite confidence) · last refreshed 5/9/2026. Privacy contract. Measures public attention, not occupancy.
Human activity signals: not available
No activity signals have landed for this park yet. The model has scored its physical form but it can’t yet say how often it’s programmed, photographed, or walked through. See /data-ethics for what we will and will not collect.
Does this score feel accurate?
Your read of Masaryk Parkmatters. We’re testing whether the model lines up with how people actually use the park. Submissions are stored locally; no account needed.
Tell us how this park feels
We measure structure (canopy, edges, connectivity). You measure feeling. Both matter, and disagreement is itself useful civic data.
What would improve this park?
Generated from the weakest measured dimensions: a starting point, not a prescription.
- Activate the edges: encourage cafés, retail or community uses on the streets that face the park; replace blank or parking-lot edges where possible.
- Diversify what people can do in the park (playground, washroom, water, shade, performance, sport, garden): even small additions raise this score.
- Increase canopy and reduce paved area. Shade and water features extend usable hours and seasons.
Data sources
- City of Toronto Open Data: Parks (Green Space)Polygon boundaries, official names, types. Boundaries are reconciled against OpenStreetMap (ODbL) for new and updated parks.
- Parks & Recreation FacilitiesInventory of in-park amenities (washrooms, fields, rinks…).
- Toronto Pedestrian NetworkSidewalk segments around and through parks; estimated park entrances.
- Toronto Centreline V2Street segments + intersection nodes near park edges; trails and walkways.
- Toronto 3D MassingBuilding footprints + heights for edge-building counts, frontage density, and tower-in-the-park risk.
- Toronto Treed AreaTree canopy share inside park polygons via stratified-grid sampling.
- Toronto Waterbodies & RiversWater surface inside parks + nearest-water distance for cooling.
- Ravine & Natural Feature ProtectionRavine overlap as a cooling / natural-comfort signal.
- Toronto Street Tree InventoryTree count + density inside park polygons.
- Neighbourhood Profiles(Pending) Equity context proxy.
- OpenStreetMap (Overpass API)Cafés, restaurants, retail, transit stops, parking, highways, rail.